Aircrew fatigue constitutes a safety hazard in aviation, which authorities attempt to mitigate through flight time limitations. Some gaps in knowledge exist, however. The purpose of the present study was to investigate the associations of schedule characteristics with fatigue and amount of sleep in the acute 24-h window, and as cumulative effects across the 7-day work period. One hundred and six aircrew (14% cabin crew) participated. They rated fatigue on the Karolinska Sleepiness Scale (KSS) three times per flight day for four 7-day work periods, with up to 7 days off between work periods. Mixed model regression was applied to the data. In the multivariable model, more sleep was associated with lower fatigue (p = .000)), corresponding to 0.26 KSS units less per hour of sleep. Very early, early and late duty types, as well as duty time, were associated with higher fatigue. For the 7-day work period, accumulation of very early duties and longer duty time were associated with increased fatigue, and more accumulated sleep was associated with lower fatigue in the adjusted model (0.08 KSS units per hour of sleep) (p = .000). Accumulated duty time was not significant when analysed as a single variable, but became so after adjustment for sleep. The results suggest that sleep, duty time and early starts are important predictors of fatigue in the 24-h window and that the number of very early starts and short sleep have cumulative effects on fatigue across a 7-day work period.Quantitative genetic research has set the stage for the exploration of genetic influences and the underlying mechanisms that undergird language and literacy development. Following this line of enquiry, Verhoef et al. (2020) address a critical issue related to genetic processes by comparing whether the genetic mechanism known as innovation or amplification plays a more pivotal role in literacy development during the period of early childhood to early adolescence, using the cutting-edge technique called the genome-wide complex trait analysis. This commentary reviews and discusses the implications of the provocative findings that stem from their study and offers concrete directions for future research. Embedded in our reflections are discussions related to the generalist genes vs genetic specificity debate, language universality vs specificity, as well as the role of environment in genetic influences. Taken together, the discussions in the commentary have highlighted the need for more in-depth explorations of the interplay between genes and literacy development through a multi-disciplinary approach.Previous studies have described the effect of sociodemographic factors on early development. We describe development of a simple cumulative risk index (CRI) based on four sociodemographic factors and explore the concurrent and predictive relationship of this index to a measure of the cognitive home environment in early childhood and to later school functioning.
This was a secondary data analysis of children from an urban pediatrics clinic. Baseline data were collected at 10-23?months (n=?324) with primary follow-up 6months later at 18-35?months (n=?179) and secondary follow-up at 8-10years (n=?68). A CRI score was derived at baseline using maternal education, marital status, race/ethnicity and child insurance. Baseline and primary follow-up included three subscales of the STIMQ, a measure of the cognitive home environment. Effectiveness of CRI was examined using analysis of variance (ANOVA) with linear contrasts. Chi-square examined differences in school function between children from CRI high-risk (CRI 3ely at 2-3 years. School functioning at 8 to 10 years was also significantly better in children with a low CRI at 1?year. The CRI could be a useful tool for both clinicians and researchers needing a simple tool for risk assessment.Using an individual differences approach in children with and without dyslexia, this study investigated the hypothesized relationship between statistical learning ability and literacy (reading and spelling) skills. https://www.selleckchem.com/products/Rapamycin.html We examined the clinical relevance of statistical learning (serial reaction time and visual statistical learning tasks) by controlling for potential confounds at the participant level (e.g., non-verbal reasoning, attention and phonological skills including rapid automatized naming and phonological short-term memory). A 100 Dutch-speaking 8- to 11-year-old children with and without dyslexia participated (50 per group), see also van Witteloostuijn et al. (2019) for a study with the same participants. No evidence of a relationship between statistical learning and literacy skills is found above and beyond participant-level variables. Suggestions from the literature that the link between statistical learning and literacy attainment, and therefore its clinical relevance, might be small and strongly influenced by methodological differences between studies are not contradicted by our findings.In this Annual Research Review, Robles (2020) discusses and synthesizes a growing literature on immune correlates of social relationships during childhood and adolescence. As he notes, the capacity for our social experiences to shape innate immune processes holds tremendous medical and psychiatric import. Childhood social experiences are associated with peripheral inflammation later in life, with related and possibly intermediate markers (like stimulated cytokine production or the expression of NF-κβ genes), and with circulating inflammatory markers in childhood (at least in high-risk groups), supporting the interpretation that youth social experiences are important contributors to health trajectories across the life span. Somewhat less explored, however, are what such associations mean for psychopathology.Plant stands in nature differ markedly from most seen in modern agriculture. In a dense mixed stand, plants must vie for resources, including light, for greater survival and fitness. Competitive advantages over surrounding plants improve fitness of the individual, thus maintaining the competitive traits in the gene pool. In contrast, monoculture crop production strives to increase output at the stand level and thus benefits from cooperation to increase yield of the community. In choosing plants with higher yields to propagate and grow for food, humans may have inadvertently selected the best competitors rather than the best cooperators. Here, we discuss how this selection for competitiveness has led to overinvestment in characteristics that increase light interception and, consequently, sub-optimal light use efficiency in crop fields that constrains yield improvement. Decades of crop canopy modeling research have provided potential strategies for improving light distribution in crop canopies, and we review the current progress of these strategies, including balancing light distribution through reducing pigment concentration.